Passive Houses are a new sustainable development option that has been appearing more frequently across the UK in the last 25 years. The houses offer huge benefits in terms of energy saving, comfort and host a multitude of sustainable technologies within. The houses use an increased amount of timber in the structure and there is a question on whether this increased use of timber combined with the current UK timber shortage could potentially mitigate the sustainability of the house.
The current study was carried out with the new goal of developing and characterising high-performance hybrid Aluminium AA 6061/Red Mud composites with varied wt.% TiO2 (0, 2, and 4% wt.%) for tribological applications. In this regard, ultrasonic-assisted stir casting is used to create composites of various compositions and machine them to ASTM G99-95a standards. The pin-on-disc wear test is performed on a Ducom TR-12 tribometer in accordance with the L27 Orthogonal Array (OA) for varying load parameters of 10 N, 20 N, and 30 N, sliding distances of 500 m, 1500 m, and 2500 m, and disc rotation speeds of 200 RPM, 400 RPM, and 600 RPM, while the hardness test is performed on a Brinell Hardness tester.
This paper is devoted to the automatic management of a type of fault (One or two broken phases) occurring on an electrical power transmission line. This line allows the transmission of the power flow from the affected phase to those which are in normal condition. Even if the line is affected by permanent single-phase or two-phase contingencies, the proposed automatic system supplies the receiver side with a few percentages of the nominal power, permanently maintaining the balanced nature of the three-phase power supply to the load.
This research paper synthesizes advancements in real estate appraisal by integrating machine learning, fuzzy logic, and aerial data analysis. It critically reviews and analyzes methodologies from recent studies, focusing on their applicability and effectiveness in property valuation. The paper highlights the intersection of these diverse techniques, examining their practical implications in the evolving real estate market.
It is an interdisciplinary project where the variation of capacitance of a capacitor with a distance of separation between two electrodes is tested for different electrolytic solutions (viz. sugar, common salt, and ammonia) within a capillary tube under DC conditions as these are the ingredients of blood. The nature of graphs resembles the parallel plate capacitor.
In the context of modern power system development to support the evolution towards green energy and carbon-neutral emission goals, many existing problems and even challenges demand new technical solutions. In recent years, decentralized blockchain technology has been employed to address some problems in power systems, and many papers have been published. In this paper, the concept of blockchain is first introduced.
In this project, a single source five-level boost inverter has been proposed and analyzed. The proposed structure includes a five-level inverter and a single-input multi-output (SIMO) boost converter. In this structure, the DC link voltage has been controlled by controlling the implemented DC-DC boost converter. In addition, the inverter switching pattern has been obtained based on the pick current control (PCC) method.
Agriculture is a major part of our lives as human beings. A lot of research has been carried out in order to be able to develop a monitored and controlled greenhouse system/environment that will help in solving the main problems relating to agriculture which is to enable the increase in the crops being cultivated all year round in the comfort of a small space like the home, and also to reduce human interaction in a small scale greenhouse environment.
Increasing use of renewable energy sources, liberalized energy markets and most importantly, the integrations of various monitoring, measuring and communication infrastructures into modern power system network offer the opportunity to build a resilient and efficient grid. The need for efficient methodologies for quicker identification and detection of these problems has always been a priority to energy stakeholders over the years.
In this project, a broad overview of the current research trends in power- electronic innovations in Cyber physical systems (CPSs) is presented. The recent advances in semiconductor device technologies, control architectures, and communication methodologies have enabled researchers to develop integrated smart CPSs that can cater to the emerging requirements of smart grids, renewable energy, electric vehicles, trains, ships, internet of things (IoTs), etc.
This project deals with an active switched inductor network-based high gain boost converter. By using less number of components in circuit topology. A high gain in voltage can be attained at a small duty cycle value by using the proposed converter, which helps in reducing the switch voltage stress and conduction loss. In addition, it draws continuous input current, has lower diode voltage stress, and lower passive component voltage ratings.
Renewable energy based distributed generators (DGs) play a dominant role in electricity production, with the increase in the global warming. Distributed generation based on wind, solar energy, biomass, mini-hydro along with use of fuel cells and microturbines will give significant momentum in near future. Advantages like environmental friendliness, expandability and flexibility have made distributed generation, powered by various renewable and nonconventional microsources, an attractive option for configuring modern electrical grids.
Wastewater management is a critical aspect of industrial processes, ensuring compliance with environmental standards and promoting sustainable practices. This work focuses on the integration of sensor technologies, specifically pH, temperature, and turbidity sensors, along with an Arduino-based controller, to monitor and manage wastewater parameters in industrial settings.
The field of biomedical implants has experienced huge developments. Conventional methods of manufacturing are usually found unbefitting in fabricating complex geometries of biomedical implants. Newer and emerging technologies like additive manufacturing open wide scope by allowing complexity in geometry and huge reduction in manufacturing times.
This work presents an innovative QR-driven component dispensing system designed for seamless integration into industrial automation processes. The proposed system leverages quick response (QR) code technology to facilitate efficient and precise dispensing of components in manufacturing environments.
The convergence of cloud-scale analytics and Industrial Internet of Things (IIoT) networks has revolutionized real-time monitoring across various industries. By leveraging cloud-scale data platforms, organizations can achieve enhanced data processing, analytics, and decision-making capabilities. This paper presents a comprehensive study on optimizing IIoT networks through cloud-scale analytics for real-time monitoring, focusing on data ingestion, edge computing, and AI-based predictive models.
Source control systems (SCS) have become essential in managing software development projects, enabling teams to efficiently track changes, collaborate, and manage version histories. This paper provides a comprehensive review of the adoption of SCS in the software industry, tracing its evolution from early centralized systems to modern distributed version control systems (DVCS) like Git.
P-15 Passive Housing Systems: A Comparative Analysis against Timber Manufacturing and the Feasibility of Implementation
in the United KingdomAbdussalam Shibani, Araz Agha, Aaron Wassall, Dyaa Hassan, Mohamad Ziltny, Rafeeq Hamad, Mahmoud Ahmed
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Passive Houses are a new sustainable development option that has been appearing more frequently across the UK in the last 25 years. The houses offer huge benefits in terms of energy saving, comfort and host a multitude of sustainable technologies within. The houses use an increased amount of timber in the structure and there is a question on whether this increased use of timber combined with the current UK timber shortage could potentially mitigate the sustainability of the house.
TiO2 Particles Influence on the Wear Conduct of an Aluminium AA6061/Red Mud Hybrid CompositeNiranjan Hugar, Venkata
Narayana B, Sunil Waddar, Manjunath K, Mohan Kumar K, Santosh N
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The current study was carried out with the new goal of developing and characterising high-performance hybrid Aluminium AA 6061/Red Mud composites with varied wt.% TiO2 (0, 2, and 4% wt.%) for tribological applications. In this regard, ultrasonic-assisted stir casting is used to create composites of various compositions and machine them to ASTM G99-95a standards. The pin-on-disc wear test is performed on a Ducom TR-12 tribometer in accordance with the L27 Orthogonal Array (OA) for varying load parameters of 10 N, 20 N, and 30 N, sliding distances of 500 m, 1500 m, and 2500 m, and disc rotation speeds of 200 RPM, 400 RPM, and 600 RPM, while the hardness test is performed on a Brinell Hardness tester.
Automatic Visualization of Single-Phase and Two-Phase Faults through a System of Two IPRs 240 with Signalling
Bedel Giscard Onana Essama, Jacquie Therese Ngo Bisse, Joseph Koko Koko, Salome Ndjakomo Essiane, Jean Gaston Tamba, Jacques Atangana
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This paper is devoted to the automatic management of a type of fault (One or two broken phases) occurring on an electrical power transmission line. This line allows the transmission of the power flow from the affected phase to those which are in normal condition. Even if the line is affected by permanent single-phase or two-phase contingencies, the proposed automatic system supplies the receiver side with a few percentages of the nominal power, permanently maintaining the balanced nature of the three-phase power supply to the load.
Integrative Machine Learning Approaches for Enhanced Real Estate Appraisal: A Multidisciplinary Analysis Incorporating
Fuzzy Logic, Aerial Data, and Topographic InformationAbhishek Shende
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This research paper synthesizes advancements in real estate appraisal by integrating machine learning, fuzzy logic, and aerial data analysis. It critically reviews and analyzes methodologies from recent studies, focusing on their applicability and effectiveness in property valuation. The paper highlights the intersection of these diverse techniques, examining their practical implications in the evolving real estate market.
Response of a Capacitor Formed by Different Electrolytic Solutions (Chemical or Biochemical) inside a Capillary Tube and
Two Electrodes under DC ConditionAmitava Ghorai
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It is an interdisciplinary project where the variation of capacitance of a capacitor with a distance of separation between two electrodes is tested for different electrolytic solutions (viz. sugar, common salt, and ammonia) within a capillary tube under DC conditions as these are the ingredients of blood. The nature of graphs resembles the parallel plate capacitor.
Applications of Blockchain Technology in Modern Power SystemsMrs.Gayathri P M.E, Enigo Jeyaprasanth S
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In the context of modern power system development to support the evolution towards green energy and carbon-neutral emission goals, many existing problems and even challenges demand new technical solutions. In recent years, decentralized blockchain technology has been employed to address some problems in power systems, and many papers have been published. In this paper, the concept of blockchain is first introduced.
Five Level InverterMs. Shanmuga Priya M, Rajeshwari P
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In this project, a single source five-level boost inverter has been proposed and analyzed. The proposed structure includes a five-level inverter and a single-input multi-output (SIMO) boost converter. In this structure, the DC link voltage has been controlled by controlling the implemented DC-DC boost converter. In addition, the inverter switching pattern has been obtained based on the pick current control (PCC) method.
Maximizing Agriculture Yield Using UV Ray and IoTT. Naveen Kumar, S. Ragul Krishna, A. Manoj ME
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Agriculture is a major part of our lives as human beings. A lot of research has been carried out in order to be able to develop a monitored and controlled greenhouse system/environment that will help in solving the main problems relating to agriculture which is to enable the increase in the crops being cultivated all year round in the comfort of a small space like the home, and also to reduce human interaction in a small scale greenhouse environment.
Machine Learning in Power SystemMs.Gowshika, Rajasekar K
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Increasing use of renewable energy sources, liberalized energy markets and most importantly, the integrations of various monitoring, measuring and communication infrastructures into modern power system network offer the opportunity to build a resilient and efficient grid. The need for efficient methodologies for quicker identification and detection of these problems has always been a priority to energy stakeholders over the years.
Power Electronic Innovations in Cyber Physical SystemDr. S. Marisargunam, Ramalakshmi A
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In this project, a broad overview of the current research trends in power- electronic innovations in Cyber physical systems (CPSs) is presented. The recent advances in semiconductor device technologies, control architectures, and communication methodologies have enabled researchers to develop integrated smart CPSs that can cater to the emerging requirements of smart grids, renewable energy, electric vehicles, trains, ships, internet of things (IoTs), etc.
A New High Gain Active Switched Network-Based BoostJ. Thilagavathy, P. Priyadharshini
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This project deals with an active switched inductor network-based high gain boost converter. By using less number of components in circuit topology. A high gain in voltage can be attained at a small duty cycle value by using the proposed converter, which helps in reducing the switch voltage stress and conduction loss. In addition, it draws continuous input current, has lower diode voltage stress, and lower passive component voltage ratings.
Modeling of Hybrid MicrogridJ. Thilagavathy, G. Suthana Raja Rexlin
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Renewable energy based distributed generators (DGs) play a dominant role in electricity production, with the increase in the global warming. Distributed generation based on wind, solar energy, biomass, mini-hydro along with use of fuel cells and microturbines will give significant momentum in near future. Advantages like environmental friendliness, expandability and flexibility have made distributed generation, powered by various renewable and nonconventional microsources, an attractive option for configuring modern electrical grids.
Industrial Waste Water Monitoring Using IoTM. Jeyamurugan, R Santhosh, S Suriya, S Surya Prakash
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Wastewater management is a critical aspect of industrial processes, ensuring compliance with environmental standards and promoting sustainable practices. This work focuses on the integration of sensor technologies, specifically pH, temperature, and turbidity sensors, along with an Arduino-based controller, to monitor and manage wastewater parameters in industrial settings.
Implementation of Rapid Prototyping in Orthopaedic Implant and Analysis of Process ParametersKarthick P, V. Ramachandran,
Dr. K. Arun Balasubramanian
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The field of biomedical implants has experienced huge developments. Conventional methods of manufacturing are usually found unbefitting in fabricating complex geometries of biomedical implants. Newer and emerging technologies like additive manufacturing open wide scope by allowing complexity in geometry and huge reduction in manufacturing times.
Efficient QR-Driven Component Dispensing System for Seamless Industrial AutomationR. Jeyapandi Prathap, T.Dinesh,
C.Hemananthakumar, S.Karthikeyan
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This work presents an innovative QR-driven component dispensing system designed for seamless integration into industrial automation processes. The proposed system leverages quick response (QR) code technology to facilitate efficient and precise dispensing of components in manufacturing environments.
Applying Cloud-Scale Analytics to Optimize Industrial IoT Networks for Real-Time MonitoringRuchi Agarwal
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The convergence of cloud-scale analytics and Industrial Internet of Things (IIoT) networks has revolutionized real-time monitoring across various industries. By leveraging cloud-scale data platforms, organizations can achieve enhanced data processing, analytics, and decision-making capabilities. This paper presents a comprehensive study on optimizing IIoT networks through cloud-scale analytics for real-time monitoring, focusing on data ingestion, edge computing, and AI-based predictive models.
Adoption of Source Control Systems in the Software IndustrySudheer Amgothu, Giridhar Kankanala
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Source control systems (SCS) have become essential in managing software development projects, enabling teams to efficiently track changes, collaborate, and manage version histories. This paper provides a comprehensive review of the adoption of SCS in the software industry, tracing its evolution from early centralized systems to modern distributed version control systems (DVCS) like Git.